Your browser doesn't support javascript.
loading
Plant functional diversity drives carbon storage following vegetation restoration in Loess Plateau, China.
Yang, Yang; Dou, Yanxing; Cheng, Huan; An, Shaoshan.
Afiliação
  • Yang Y; State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling, 712100, China; State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China; CAS Center for Excellence in
  • Dou Y; State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling, 712100, China.
  • Cheng H; Department of Biology, University of Maryland, College Park, MD, 20742, USA.
  • An S; State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling, 712100, China. Electronic address: shan@ms.iswc.ac.cn.
J Environ Manage ; 246: 668-678, 2019 Sep 15.
Article em En | MEDLINE | ID: mdl-31216512
ABSTRACT
Ongoing climatic changes induced by human activities increases in atmospheric carbon dioxide (CO2), which have considerable effects on the structure and function of ecosystems, including carbon (C) storage, plant functional traits and therefore on a wide set of ecosystem services. Plant functional diversity is benefit to improve plant photosynthesis and enhance C efficiency and therefore decrease CO2. Here, the focus of this article is on integrating of plant functional diversity and C storage, which aims to contribute to C sequestration for climate change mitigation following vegetation restoration in Loess Plateau, China. Firstly, the CWM (plant community-weighted mean) traits of the most abundant plant species can account for C storage in AGBC (above-ground biomass C), ALC (above-ground litter C), STC (soil total carbon) and TEC (total ecosystem carbon). Secondly, the CWM of plant height and LCC (leaf carbon concentration) had a positive effect C storage in different part (AGBC, ALC, STC and TEC), while the CWM of LNC (leaf nitrogen concentration) and SLA (specific leaf area) had a negative effect on C storage in different part. Further, the CWM of plant height, LCC, SLA and plant functional dispersion (FDis) can be used to predict C storage by multiple linear regression analysis. Finally, the positive association between FDis and C storage was found in SEM, shedding light on the key role of plant functional diversity driving C storage following vegetation restoration. The findings presented here highlight the importance of both plant traits of dominant species and plant functional diversity in regulating C storage, and show that favorable climate conditions, particularly vegetation restoration, tend to increase C storage and plant functional diversity, which have important implications for improving global C cycling and ecosystem services.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Solo / Ecossistema Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: J Environ Manage Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Solo / Ecossistema Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: J Environ Manage Ano de publicação: 2019 Tipo de documento: Article